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Journal : Journal of Applied Data Sciences

Traditional-Enhance-Mobile-Ubiquitous-Smart: Model Innovation in Higher Education Learning Style Classification Using Multidimensional and Machine Learning Methods Santiko, Irfan; Soeprobowati, Tri Retnaningsih; Surarso, Bayu; Tahyudin, Imam; Hasibuan, Zainal Arifin; Che Pee, Ahmad Naim
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.598

Abstract

Learning achievement is undoubtedly impacted by each person's unique learning style. The assessment pattern is less focused due to the intricacy of the current components. In fact, general elements like VARK are thought to create complexity that can impair focus when combined with elements like environmental conditions, teacher effectiveness, and stakeholder policies. Although it is only ideal in specific areas, the application of supported information technology has so far yielded positive results. This essay attempts to be creative in evaluating how well students learn in higher education settings. An assessment framework that uses multidimensionality and simplifies features is the innovation that is being offered. Method, Material, and Media (3M) are the three categories into which simplification of aspects is separated. However, the Dimensions are categorized into five groups: Traditional, Enhance, Mobile, Ubiquitous, and Smart (TEMUS). Approximately 1200 respondents consisting of students and lecturers formed into a dataset in 2 types of data, namely test data and training data. The trial was conducted using 4 models, namely Random Forest, SVM, Decision Tree, and K-Nearest. The test results were interpreted in MSE, R-Square, Accuracy, Recall, Precision, and F1-Score. Based on the comparison of test results, it states that Random Forest has the most optimal results with MSE values of 0.46, R Square 0.99, Accuracy 0.86, Recall 0.86, Precision 0.87, F1 Score 0.84. Based on the results obtained, it proves that in addition to being able to carry out the classification process, the TEMUS Dimensional Framework can form a pattern of compatibility with each other, between the learning styles of Lecturers and Students. According to this TEMUS framework, teacher and student performance will be deemed suitable and effective when the 3M components are assessed from both perspectives in the same way. If not, a review will be conducted.
Co-Authors AA Sudharmawan, AA Agnes Indra Mahanani, Agnes Indra Agusta Rakhmat Taufani Ahmad Yusuf Afandi Ahmad, Halim Andin Vita Amalia, Andin Vita Anny Miftakhul Hidayah, Anny Miftakhul Arief Rachman Ariyanto Wibowo, Ariyanto Ayu Ambar Alina B Budiyono Barber, Paul Hendry Bayu Surarso Boedi Hendarto Budiyanto Toha Budiyono Budiyono Budiyono Budiyono Catur Edi Widodo Che Pee, Ahmad Naim Decenly - Dewi Arianti Wulandari Dewi Arianti Wulandari Dhony F Putra, Dhony F Dinar Mutiara Kusumo Nugraheni Dwiana, Islita Alis Dyah Ayu Kumalasari Edwin Nurimansyah Erry Wiryani Esa Prakasa Faiq Rahman, Faiq Fitriyanto, Eko Bambang Florensia Setyaningsih Purnamawat, Florensia Setyaningsih Fuad Muhammad Fuad Muhammad Haris, Amnan Hartuti Purnaweni Hendarko Soegondo Hendarko Sugondo Hendro Christi Suhry Hendro Christi Suhry Heriyanti, Andhina Putri Hermawan Setiyo Budi Hartanto Ign Budi Hendrarto, Ign Budi IIS SHOLIKHATI Imam Tahyudin Indro Sumantri Irfan Santiko Jafron Wasiq Hidayat Jumari Jumari Jumari Jumari, Jumari Kaban, Markus Karyadi Baskoro Kenanga Sari Kenanga Sari Kholifah, Rizqi Widya Nur Kristanti, Alberta Widya Kusworo Adi M Murningsih Marcelinus Christwardana Maryono Maryono Meinita, Maria Dyah Nur Muhammad Helmi Muhammad Sindhunata Prambodo, Muhammad Sindhunata Munifatul Izzati Nanik Heru Suprapti Ni Kadek Dita Cahyani, Ni Kadek Dita Nugraheni, Dinar Mutiara K Nurfitri Astuti Nurfitri Astuti Nurfitri Astuti Ovide Decroly Wisnu Ardhi Peter Gell Pireno, Purwanto Adi Poniman Poniman Prasetyo, Syarif Purnomo Putro, Sapto Purwanto Purwanto Rahim, Aulia Riche Hariyati Rifa’atunnisa, Rifa’atunnisa Rizki Nor Amelia Rully Rahadian S. Djalal Tandjung Sapto P Putro Sebong, Perigrinus Hermin Sesilia Rani Samudra Siti Mudhakiroh Sri Ariyati Sri W.A. Suedy Sri Widodo Agung Suedy Sudarno Sudarno Sutikno Sutikno Sutrisno Anggoro SUWARNO HADISUSANTO Tri Hastutiningsih Tyas Rini Saraswati Wandy Wandy Widjonarko . Wildan Suyuti Mustofa Marthana Zainal Arifin Hasibuan Zega, Enita Setiawati